Article(id=1314918451844580061, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1744041600000, receivedDateStr=2025-04-08, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430588922, onlineDateStr=2026-10-08, pubDate=1763568000000, pubDateStr=2025-11-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430588922, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430588922, creator=13701087609, updateTime=1791430588922, updator=13701087609, issue=Issue{id=1314918356222829028, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='11', pageStart='5921', pageEnd='6512', issueExtLink='null', onlineDate='null', pubDate='1763568000000', pubDateStr='2025-11-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430566125, creator='13701087609', updateTime=1791431596967, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314922679942078535, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314922679942078536, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=6320, endPage=6330, ext={EN=ArticleExt(id=1314918453446804191, articleId=1314918451844580061, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Characteristics and driving factors of algal communities in lakes with different salinities in the eastern Qinghai Tibet Plateau, columnId=1234106388083954308, journalTitle=China Environmental Science, columnName=Environmental Ecology, runingTitle=null, highlight=null, articleAbstract=

In this study, water samples of lakes with different salinities (fresh, saline and salt) lakes in the QTP were collected to analyze the structural characteristics and driving mechanisms of algae communities, and the Null model was used to quantify the process of algal community assembly processes. The results indicated: The abundance indices of algae in fresh lakes were the highest (average Shannon and Chao1 were 3.60 and 390.01, respectively), while that in salt lakes were the lowest (average Shannon and Chao1 were 1.96 and 184.84, respectively). With the increase of water salinity, the diversity and abundance of algal communities decreased significantly. The Average Variation Degree (AVD) index of algal community in different salinities lakes was different, and AVD in saline lakes was the lowest, indicating that the stability of algal community is the highest. At the phylum taxonomic level, the algae in the lakes of the QTP were mainly composed of Bacillariophyta (28.78%), Chlorophyta (14.28%), Euglenozoa (2.88%), Haptophyta (1.89%), including the species of uncultured_organism、Tetraselmis_cordiformis、Nannochloropsis_oculata、Rhizosolenia_sp. and the proportions were 31.94%, 9.06%, 6.30% and 3.58%, respectively. The community structure of algae in lakes with different salinities was significantly different (ANOSIM: P<0.001). Biological oxygen demand (BOD) was the most significant driving factor for variations in the community structure of algae in lakes with different salinities. Variational partition analysis (VPA) revealed that the contributions of geographic factors in shaping algae in lakes (1.02%) was lower than that of water environmental factors (36.95%). The algal community assembly process was varied in lakes with different salinity gradients. The community assembly processes of algae in fresh lakes were dominated by the deterministic processes, while the algae in saline and salt lakes were mainly dominated by the stochastic processes. The results of this study could provide theoretical support for the planning, utilization, and management strategies of water resources in lakes on the QTP, and also provided scientific basis for the assessment of water pollution risks in this region.

, authors=Dan-dan WANG, Yan-qin XIE, Yue-fei HUANG^*, Hai-chao JIA, authorsList=Dan-dan WANG, Yan-qin XIE, Yue-fei HUANG, Hai-chao JIA, authorCompany=null, correspAuthors=Yue-fei HUANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314918453752988384, articleId=1314918451844580061, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=青藏高原东部不同盐度湖泊藻类群落特征及其驱动因素, columnId=1234106388268503686, journalTitle=中国环境科学, columnName=环境生态, runingTitle=null, highlight=null, articleAbstract=

采集青藏高原不同盐度（淡水湖、咸水湖和盐湖）湖泊水样,对藻类群落结构特征及其变化驱动机制进行解析,使用零模型对藻类的群落构建过程进行量化.结果表明:淡水湖藻类平均多样性和丰度指数最高（Shannon指数3.60;Chao1指数390.01）,盐湖藻类平均多样性和丰度指数最低（Shannon指数1.96;Chao1指数184.84）.随着盐度的增加,水体藻类群落丰度显著减少.不同盐度湖泊水体藻类群落的变异指数不同,咸水湖中的变异指数最小,表明其藻类群落稳定性最高;青藏高原湖泊水体藻类在门分类水平上主要有硅藻（28.78%）、绿藻（14.28%）、裸藻（2.88%）、定鞭藻（1.89%）,包括uncultured_organism、Tetraselmis_cordiformis、Nannochloropsis_oculata、Rhizosolenia_sp.等物种,占比依次为31.94%、9.06%、6.30%和3.58%.不同盐度湖泊藻类的群落结构显著不同（ANOSIM:P<0.001）.生物需氧量（BOD）是不同盐度湖泊藻类群落结构变化最显著的驱动因子.变异分区分析（VPA）揭示了地理因子在塑造湖泊藻类时的贡献率（1.02%）比水环境因子（36.95%）低;不同盐度湖泊藻类群落构建过程不同,淡水湖由确定性过程主导,而咸水湖和盐湖由随机性过程主导.本研究结果可为青藏高原湖泊群水资源规划利用和管理策略提供理论支撑,为区域内水体污染风险评估提供科学依据.

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王丹丹（1991-），女，陕西咸阳人，讲师，博士，主要从事水生态和水环境微生物研究．发表论文10篇．2023990002@qhu.edu.cn.

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王丹丹（1991-），女，陕西咸阳人，讲师，博士，主要从事水生态和水环境微生物研究．发表论文10篇．2023990002@qhu.edu.cn.

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